Showing 5 open source projects for "w-root"

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  • 1
    PyTorch Geometric

    PyTorch Geometric

    Geometric deep learning extension library for PyTorch

    ...We have outsourced a lot of functionality of PyTorch Geometric to other packages, which needs to be additionally installed. These packages come with their own CPU and GPU kernel implementations based on C++/CUDA extensions. We do not recommend installation as root user on your system python. Please setup an Anaconda/Miniconda environment or create a Docker image. We provide pip wheels for all major OS/PyTorch/CUDA combinations.
    Downloads: 2 This Week
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  • 2
    Uranie

    Uranie

    Uranie is CEA's uncertainty analysis platform, based on ROOT

    Uranie is a sensitivity and uncertainty analysis plateform based on the ROOT framework (http://root.cern.ch) . It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr). It provides various tools for: - data analysis - sampling - statistical modeling - optimisation - sensitivity analysis - uncertainty analysis - running code on high performance computers - etc. Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python. ...
    Downloads: 0 This Week
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  • 3

    SRCalc

    An accessible calculator designed for Microsoft Windows Systems.

    SRCalc is an accessible calculator for Microsoft Windows, with the purpose to make an accessible advanced calculator. Now the application is very simple, but the main idea is extends your functionality. SRCalc supports jaws and NVDA screen readers, providing shorcuts to the more important functions and modifying some GUI elements for the screen readers.
    Downloads: 0 This Week
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  • 4
    This App solves a system of simultaneous equations (liner or nonlinear) by using a matrix root solver. Iterations and solutions are provided by GSL (GNU science library).
    Downloads: 0 This Week
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  • 5
    GUANO

    GUANO

    GUANO - Graphical User interface for performing ANalysis Of variance

    ...Features: - Capable of high order factorial designs (> 2 factors) - Within and mixed analyses of variance provide corrections for violations of sphericity (Huynh-Feldt, Greenhouse-Geisser, Box) - A variety of data transformations can be applied (log10, reciprocal, arcsine, square-root, and Windsor) - Generalized eta-squared measures of effect size - Post-hoc power analysis (should match G*Power) - Outputs include tables of estimated marginal means - Up to 4-way interaction plots with errorbars (png, svg) - Confidence intervals account for within-subject variability (where applicable; Loftus and Masson, 1994) - Non-proprietary HTML output files - Non-proprietary codebase Gotchas: - Assumes balanced designs
    Downloads: 0 This Week
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